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This paper proposes GOAL, a constraint-aware generative framework for incentivized advertising that formulates incentive allocation as conditional sequence generation, and introduces SCPO to learn a single generative policy that generalizes across ROI constraints. Experiments show improved long-term revenue and user retention with reduced ROI violations.
Removing the top 30 highest-paid revenue share accounts from X's For You timeline increased time spent and daily active users in a 3% experiment.
A study by Wu and Holmes with 399 U.S. participants found that songs labeled as AI-generated received 23% lower emotional resonance ratings and 19% less listening time, despite most listeners being unable to accurately distinguish AI from human-made music.